{"id":"W4399860835","doi":"10.1145/3660650.3660658","title":"Indigenization and Decolonization of CS Education 2010-2023: A Bibliometric Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Indigenization; Indigenous; Decolonization; Declaration; Political science; Curriculum; Commission; Library science; Indigenous education; Work (physics); Public administration; Sociology; Law; Computer science; Politics; Engineering; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0003647984,0.00004800499,0.00007472518,0.03645063,0.00006054753,0.0002932008,0.0001308335,0.00003641137,0.00001193139],"category_scores_gemma":[0.0001084588,0.00004282346,0.00003129286,0.1456569,0.00001092793,0.000349727,0.00004722053,0.00006336327,0.000009810637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001794549,"about_ca_system_score_gemma":0.0000984346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000189668,"about_ca_topic_score_gemma":0.00002288047,"domain_scores_codex":[0.9994144,0.00004805769,0.0001299991,0.0001909452,0.0001379686,0.0000786618],"domain_scores_gemma":[0.9996226,0.00008214432,0.00004348145,0.0001417322,0.00007687115,0.00003316689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[3.125114e-7,0.00003216162,0.05904226,0.00003256292,0.00006801588,3.026892e-7,0.001250174,0.0004824819,0.00004084094,0.01048177,0.000303638,0.9282655],"study_design_scores_gemma":[0.00007570401,0.00009831439,0.6427655,0.00003878405,0.0002138787,0.00000763541,0.0001280442,0.3335983,0.0002783479,0.0004661534,0.02213253,0.0001968277],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1540053,0.001226619,0.8439538,0.0002154073,0.0002303898,0.00004861364,2.295723e-7,0.0001538858,0.0001658189],"genre_scores_gemma":[0.9388852,0.00004692636,0.05990718,0.00002044095,0.00001898132,0.000003806945,0.00001414852,0.00000341104,0.001099969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9280686,"threshold_uncertainty_score":0.9744704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111261334096482,"score_gpt":0.2853245125367526,"score_spread":0.2741983791271044,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}